{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "npy file loaded\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "import scipy.misc\n",
    "\n",
    "vgg19_npy_path='../vgg19.npy'\n",
    "data_dict = np.load(vgg19_npy_path, encoding='latin1').item()\n",
    "print(\"npy file loaded\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Image dimensions constants. \n",
    "IMAGE_WIDTH = 224\n",
    "IMAGE_HEIGHT = 224\n",
    "COLOR_CHANNELS = 3\n",
    "\n",
    "# Number of iterations to run.\n",
    "ITERATIONS = 150  # "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# VGG-19 architecture\n",
    "VGG_MEAN = [103.939, 116.779, 123.68]\n",
    "def VGG19():\n",
    "    graph = {}\n",
    "    rgb = tf.Variable(np.zeros((1, IMAGE_HEIGHT, IMAGE_WIDTH, COLOR_CHANNELS)), dtype = 'float32')\n",
    "    graph['input'] = rgb\n",
    "\n",
    "    # Convert RGB to BGR\n",
    "    red, green, blue = tf.split(3, 3, rgb)\n",
    "    assert red.get_shape().as_list()[1:] == [224, 224, 1]\n",
    "    assert green.get_shape().as_list()[1:] == [224, 224, 1]\n",
    "    assert blue.get_shape().as_list()[1:] == [224, 224, 1]\n",
    "    bgr = tf.concat(3, [\n",
    "        blue - VGG_MEAN[0],\n",
    "        green - VGG_MEAN[1],\n",
    "        red - VGG_MEAN[2],\n",
    "    ])\n",
    "    print(bgr.get_shape().as_list()[1:])\n",
    "    \n",
    "    \n",
    "    graph['conv1_1'] = conv_layer(bgr, \"conv1_1\")\n",
    "    graph['conv1_2'] = conv_layer(graph['conv1_1'], \"conv1_2\")\n",
    "    graph['pool1'] = avg_pool(graph['conv1_2'], 'pool1')\n",
    "    \n",
    "    graph['conv2_1'] = conv_layer(graph['pool1'], \"conv2_1\")\n",
    "    graph['conv2_2'] = conv_layer(graph['conv2_1'], \"conv2_2\")\n",
    "    graph['pool2'] = avg_pool(graph['conv2_2'], 'pool2')\n",
    "    \n",
    "    graph['conv3_1'] = conv_layer(graph['pool2'], \"conv3_1\")\n",
    "    graph['conv3_2'] = conv_layer(graph['conv3_1'], \"conv3_2\")\n",
    "    graph['conv3_3'] = conv_layer(graph['conv3_2'], \"conv3_3\")\n",
    "    graph['conv3_4'] = conv_layer(graph['conv3_3'], \"conv3_4\")\n",
    "    graph['pool3'] = avg_pool(graph['conv3_4'], 'pool3')\n",
    "    \n",
    "    graph['conv4_1'] = conv_layer(graph['pool3'], \"conv4_1\")\n",
    "    graph['conv4_2'] = conv_layer(graph['conv4_1'], \"conv4_2\")\n",
    "    graph['conv4_3'] = conv_layer(graph['conv4_2'], \"conv4_3\")\n",
    "    graph['conv4_4'] = conv_layer(graph['conv4_3'], \"conv4_4\")\n",
    "    graph['pool4'] = avg_pool(graph['conv4_4'], 'pool4')\n",
    "    \n",
    "    graph['conv5_1'] = conv_layer(graph['pool4'], \"conv5_1\")\n",
    "    graph['conv5_2'] = conv_layer(graph['conv5_1'], \"conv5_2\")\n",
    "    graph['conv5_3'] = conv_layer(graph['conv5_2'], \"conv5_3\")\n",
    "    graph['conv5_4'] = conv_layer(graph['conv5_3'], \"conv5_4\")\n",
    "    graph['pool5'] = avg_pool(graph['conv5_4'], 'pool5')\n",
    "    \n",
    "    graph['fc6'] = fc_layer(graph['pool5'], \"fc6\")\n",
    "    assert graph['fc6'].get_shape().as_list()[1:] == [4096]\n",
    "    graph['relu6'] = tf.nn.relu(graph['fc6'])\n",
    "    \n",
    "    graph['fc7'] = fc_layer(graph['relu6'], \"fc7\")\n",
    "    graph['relu7'] = tf.nn.relu(graph['fc7'])\n",
    "    \n",
    "    graph['fc8'] = fc_layer(graph['relu7'], \"fc8\")\n",
    "    \n",
    "    graph['prob'] = tf.nn.softmax(graph['fc8'], name=\"prob\")\n",
    "    \n",
    "    data_dict = None\n",
    "    print(\"build model finished\")\n",
    "    return graph\n",
    "    \n",
    "def avg_pool(bottom, name):\n",
    "    return tf.nn.avg_pool(bottom, ksize=[1, 2, 2, 1], strides=[1, 2, 2, 1], padding='SAME', name=name)\n",
    "\n",
    "def conv_layer(bottom, name):\n",
    "    with tf.variable_scope(name):\n",
    "        filt = get_conv_filter(name)\n",
    "\n",
    "        conv = tf.nn.conv2d(bottom, filt, [1, 1, 1, 1], padding='SAME')\n",
    "\n",
    "        conv_biases = get_bias(name)\n",
    "        bias = tf.nn.bias_add(conv, conv_biases)\n",
    "\n",
    "        relu = tf.nn.relu(bias)\n",
    "        return relu\n",
    "    \n",
    "def fc_layer(bottom, name):\n",
    "    with tf.variable_scope(name):\n",
    "        shape = bottom.get_shape().as_list()\n",
    "        dim = 1\n",
    "        for d in shape[1:]:\n",
    "            dim *= d\n",
    "        x = tf.reshape(bottom, [-1, dim])\n",
    "\n",
    "        weights = get_fc_weight(name)\n",
    "        biases = get_bias(name)\n",
    "\n",
    "        # Fully connected layer. Note that the '+' operation automatically\n",
    "        # broadcasts the biases.\n",
    "        fc = tf.nn.bias_add(tf.matmul(x, weights), biases)\n",
    "\n",
    "        return fc\n",
    "    \n",
    "def get_conv_filter(name):\n",
    "    return tf.constant(data_dict[name][0], name=\"filter\")\n",
    "\n",
    "def get_bias(name):\n",
    "    return tf.constant(data_dict[name][1], name=\"biases\")\n",
    "\n",
    "def get_fc_weight(name):\n",
    "    return tf.constant(data_dict[name][0], name=\"weights\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[224, 224, 3]\n",
      "build model finished\n"
     ]
    }
   ],
   "source": [
    "model = VGG19()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x16e43bc32e8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NuBS4tbW2Zh9fjyRNnhlejrcD2L6T5cyhcR+ju0zvaWA1sHRo+8F012NvoQv11cCiaZ7X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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16e74ed2358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "input_image = np.zeros((1, IMAGE_HEIGHT, IMAGE_WIDTH, COLOR_CHANNELS))\n",
    "plt.figure()\n",
    "plt.imshow(input_image[0])\n",
    "print(np.mean(input_image))\n",
    "plt.title('input')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration 0\n",
      "cost:  8.33062\n",
      "Iteration 30\n",
      "cost:  0.0218401\n",
      "Iteration 60\n",
      "cost:  0.00533312\n",
      "Iteration 90\n",
      "cost:  0.00327349\n",
      "Iteration 120\n",
      "cost:  0.00245639\n"
     ]
    }
   ],
   "source": [
    "one_hot_y = tf.one_hot(694, 1000) # paddlewheel\n",
    "total_loss = tf.nn.softmax_cross_entropy_with_logits(tf.reshape(model['fc8'],(1000,)), one_hot_y)\n",
    "optimizer = tf.train.AdamOptimizer(2.0)\n",
    "train_step = optimizer.minimize(total_loss)\n",
    "\n",
    "sess = tf.Session()\n",
    "sess.run(tf.global_variables_initializer())\n",
    "sess.run(model['input'].assign(input_image))\n",
    "\n",
    "for it in range(ITERATIONS):\n",
    "    sess.run(train_step)\n",
    "    if it%30 == 0:\n",
    "        result_image = sess.run(model['input'])\n",
    "        print('Iteration {}'.format(it))\n",
    "        print('cost: ', sess.run(total_loss))\n",
    "\n",
    "        if not os.path.exists('output/'):\n",
    "            os.mkdir('output/')\n",
    "\n",
    "        filename = 'output/%d.png' % (it)\n",
    "        gray = cv2.cvtColor(result_image[0],cv2.COLOR_RGB2GRAY)\n",
    "        scipy.misc.imsave(filename, gray)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TnqBisSjnnHZ3d9Vut9Vut7W1taVCoaCZmRlNTU3JORd+JGk4HIZr5XK5cM5w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\ncrmMawegusTG7x3QDghxRlvK+lrTyOjMIqARcJ1fC/77nlw44w9Tyo5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YL/3mGUdehgBt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\n7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E9NihQvCLe5ognPbaq87O8v+nq9LknBbrGdLuAR+QCfcxss3wI5r1nkWF4Gd4bJGWPX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3YYJ9buz+Z9UHqz7HLnws3NzchOpnghko/rQcMphQXjyfHw+ajJnn2dZVnYeBgPvO4UW6VS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\nhOfA/weYXnCEYuzcIgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16e74adb470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result_image = sess.run(model['input'])\n",
    "gray = cv2.cvtColor(result_image[0],cv2.COLOR_RGB2GRAY)\n",
    "plt.figure()\n",
    "plt.imshow(gray,cmap='gray')\n",
    "plt.title('The image that most excites the target one-hot vector, expected to be paddlewheel')\n",
    "scipy.misc.imsave('output/final.png', gray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
